Systemic Ozone Therapy Improves Oral Hard and Soft Tissue Healing in Medication-Related Osteonecrosis of the Jaw (MRONJ): A Study in Senescent Female Rats
Bibliographic record
Abstract
Background/Objectives: Medication-related osteonecrosis of the jaw (MRONJ) is a challenging condition often associated with bisphosphonate use, leading to impaired bone healing and difficult clinical management. Given the lack of predictable therapeutic options, this study investigated the effects of systemic ozone therapy on MRONJ healing. This study aimed to analyze the effects of systemic ozone therapy on oral hard and soft tissue healing in senescent rats with medication-related osteonecrosis of the jaw (MRONJ) induced by antiresorptive therapy. Methods: Twenty-eight senescent Wistar rats, aged eighteen months and weighing ~350 g, were used for this study. The animals were divided into four groups. The negative control (SAL) group received saline applications, while the control-treated (SAL+OZ) group received saline applications and ozone therapy (0.7 mg/kg). The MRONJ (ZOL) group received Zoledronate, an intravenous antiresorptive drug (100 μg/kg), and the MRONJ-treated (ZOL+OZ) group received zoledronate application and was treated with systemic ozone therapy (0.7 mg/kg). All rats underwent molar extraction in the third week of the experiment and were euthanized in the seventh week of the experiment. The mandibles were resected, reduced, and prepared for microtomographic analysis, histopathological/histometric analysis, and immunohistochemistry. Results: The ZOL group presented characteristics of vitreous, non-vital, and dense bone, poor vascularization, and high values of inflammation markers compatible with MRONJ. In contrast, the ZOL+OZ group exhibited improvement in alveolar bone and soft tissue healing, a decrease in nonvital bone area, and modulation of local inflammation. Conclusions: It can be concluded that Ozone therapy improved oral hard and soft tissue healing of MRONJ in senescent female rats subjected to antiresorptive drugs and might be considered for future clinical applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".